Jing Xu

Artificial Intelligence · with Wang · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Xu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. He He

Papers from Jing Xu's perspective

Ordered by how strongly the researchers Jing Xu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Proximal Policy Optimization Algorithms (arXiv.org)
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Categorical Reparameterization with Gumbel-Softmax

Their papers